Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
Crossref and OpenAlex · separate totals for the same publication cohorts
Hover over a year or focus the chart and use arrow keys to inspect values.
Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.
OpenAlex · incoming citation links grouped by citing-work year
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.
Crossref citation coverage: 27 / 27 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 21 Oct 2026 07:22 UTC — 22 Oct 2026 03:54 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.
27 / 27 with data · 0 missing or unmatched. Percentages use all 27 selected publications.
27 / 27 with data · 0 missing or unmatched. Percentages use all 27 selected publications.
27 / 27 with data · 0 missing or unmatched. Percentages use all 27 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 23 | 23 | 23/23 | 23/23 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 32 | 23 | 23/23 | 23/23 |
| 2020 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 123 | 23 | 23/23 | 23/23 |
| 2020 | All selected publications | 4 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.
The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.
Annual history available for 27 / 27 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.
Annual-history observations (UTC): 2026-10-21T07:22:43.119934+00:00 — 2026-10-22T03:54:26.290097+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 0 | 27 | 27/27 |
| 2018 | All selected publications | 0 | 27 | 27/27 |
| 2019 | All selected publications | 1 | 27 | 27/27 |
| 2020 | All selected publications | 11 | 27 | 27/27 |
| 2021 | All selected publications | 16 | 27 | 27/27 |
| 2022 | All selected publications | 25 | 27 | 27/27 |
| 2023 | All selected publications | 36 | 27 | 27/27 |
| 2024 | All selected publications | 21 | 27 | 27/27 |
| 2025 | All selected publications | 15 | 27 | 27/27 |
| 2026 | All selected publications | 4 | 27 | 27/27 |
Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2019 | 23 |
| 2020 | 1 |
| 2022 | 2 |
| 2024 | 1 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Research in Business and Social Science SSBFNET | 27 | 33 | 129 | 27/27 | 1.22 | 1 | 51.9 | 27/27 · 100.0% |
* Percentage among publications with a known citation count.
Parastatals continue to experience difficulties in trying to achieve employee engagement. Consequently, governments have transitioned to the transformational leadership style to effectively achieve employee engagement. Nevertheless, it is still ambiguous whether the institution of transformational leadership style dimensions has boosted employee engagement levels in parastatals in Kenya. The objective of the study was to investigate the influence of idealized influence on employee engagement in parastatals in the energy sector in Kenya. Also, the study sought to determine the moderating influence of employee motivation on the relationship between idealized influence and employee engagement. This study targeted the 10 parastatals within the energy sector in Kenya with a population of 315 middle-level managers. The study adopted a positivist research philosophy to examine how idealized influence influences employee engagement and data were collected using structured questionnaires. A correlational research design was conducted with the purpose of determining the strength of the relationship between parameters of idealized influence and employee engagement in parastatals in the energy sector in Kenya. The findings showed that employee engagement has a statistical significant relationship with charisma, r(166) = 0.590, p < 0.01; ethical leadership, r(165) = 0.553, p < 0.01; teamwork, r(166) = 0.531, p < 0.01. Multiple linear regression analysis revealed that employee motivation positively and significantly moderates the relationship between idealized influence and employee engagement, R2= 0.405, F(2, 159) = 54.100, p <0.05, ? = 0.225, p < 0.05. The study concluded that charisma, ethical leadership, teamwork, and employee motivation positively enhance employee engagement.
Sub-Saharan Africa lags other regions in the adoption of both Patient-Centered (PC) and Facility Centered (FC) mobile health (m-health) applications. Transformational Leadership Style (TLS) of Hospital Management Boards (HMBs) is catalytic for the adoption of disruptive technologies such as m-health by hospitals. There is limited evidence on the effect of TLS of HMBs in the adoption of innovations in Low- and Middle-Income Countries (LMICS). This study investigated the moderating role of TLS of HMBs on the adoption of PC and FC m-health by hospitals in Kenya. It used the Logit Regression Model to test null hypotheses that the four constructs of TLS (Idealized Influence (II), Individualized Consideration (IC), Inspirational Motivation (IM), Intellectual Stimulation (IS)) individually or combined had no significant moderating effect on adoption of PC and FC m-health applications. Primary data was collected from a representative sample size of 211 Top Executives (TEs) of level 4 to 6 hospitals who evaluated the TLS of their HMBs on m-health adoption. At a 5% level of significance, the study found that only the combined application of the four constructs (II, IC, IM, IS) significantly moderated the adoption of PC m-health (p=0.046) but did not moderate FC m-health (p=0.345). Each incremental application of TLS would increase the odds of adopting PC m-health by 1.002 but not for FC. Therefore, this study recommends the capacity strengthening of HMBs in TLS to scale up PC m-health adoption in Kenya and other LMICs. It also recommends a differentiated approach to policies, practices, and theories of adoption of innovations using the PC-FC models.
The research objectives of this study were two. The first one was to determine the influence of idealizing influence on employee job performance. The second objective of the study was to determine if employee work value congruence moderated the relationship between transformational leadership style and employee job performance. This study adopted the positivism research philosophy and correlation research design. The target population of the study was 676 lower-level managers from 52 insurance companies operating in Kenya as of 2017. A sample size of 245 was drawn using a stratified random sampling technique and systematic sampling. 245 questionnaires were distributed out of which 211 were completed and returned representing a response rate of 86% which was deemed as adequate for a correlation research design. The analysis of variance was used to test the hypothesis. The study concluded that idealized influence significantly predicted employee job performance. In addition, the study inferred that employee work value congruence had a significant moderating effect on the relationship between transformational leadership and employee job performance among lower-level managers in the Insurance sector in Kenya. The study recommended that leaders should observe values that are congruent with that of their organization and socialize their employees on the same so that there is enhanced transformational leadership effectiveness.
Critical to the success of financial institutions' performance is there Capital Structure. The study aimed to, investigate the effect of two capital structure determinants, leverage, and firm size on financial performance as measured by Return on Assets of Deposit Taking Savings and Credit Cooperative Societies in Kenya. The study was grounded on Tradeoff, Pecking order, and Mogdiliani and Miller capital structure theories. A positivist approach was adopted utilizing a mixed-method research design. The population of the research study was 174 Deposit Taking Savings and Credit Cooperative Societies from whom primary and secondary data was collected. A stratified and purposive sampling technique was employed. Descriptive statistics and a regression model were used to analyze the data. The results revealed that firm size had a significant and positive effect on financial performance, whereas Leverage, had a significant but negative effect on financial performance. The study recommends having in place an Assets and Liabilities committee in each Deposit Taking Savings and Credit Cooperative Society that would help manage the assets and liabilities of the institution, ensuring sound liquidity and cash flow management. Critical factors that contribute to a firm size such as increased membership, deposits mobilization amongst others need to be addressed.
This study examined the influence of supportive and participative path-goal leadership styles, and the moderating role of task structure on employee performance of coffee trading companies in Kenya. The study was guided by the positivism philosophy and used a descriptive correlational research design. The population comprised 180 senior managers of coffee trading companies in Kenya, and a sample size of 139 was determined using stratified random sampling. Primary data was collected using questionnaires. The response rate was 84%. The descriptive statistics were means and standard deviations while the inferential analysis included factor analysis, correlational analysis, chi-square, and regression analysis. Results of multiple linear regression analysis revealed that supportive leadership style did not significantly predict employee performance, R2= 0.001, F(1, 110) = 0.118, p? .05, ? = -0.040, p ? .05 but that participative leadership style significantly predicted employee performance, R2= 0.865, F(1, 115) = 735.111, p ?.05, ? = 0.943, p?05. Task structure was found to moderate the relationship between path-goal leadership styles and employee performance, R2= 0.094, F(5, 101) = 6.92, p ?.05, ? = 0.208, p? .05. The study recommends that leaders of coffee trading companies should apply a participative leadership style with their employees with constant communication and consultation in order to achieve optimal performance.
Abstract Resources and capabilities in SMEs are only advantageous when the SMEs have the potential to execute the right strategies and processes. SMEs must analyze their business environments and understand the resources available to operate efficiently and effectively and achieve a sustained performance. This study is the subject of the influence of valuable resources on performance of SMEs. This study used a cross-sectional survey design. The target population for this study comprised of 121, 680 SMEs. The research used stratified random sampling technique. The sample size of this study was 399 SMEs. A structured questionnaire was used to collect data. Findings showed that there was a positive significant correlation between valuable resource and SMEs performance (r=.270; p<.01). According to the linear regression analysis valuable resources account for 7.3% of SMEs performance. According to the regression coefficients, one-unit increase in valuable resources improved SMEs performance by 0.269 units (? = 0.269). The t-statistics results showed that t = 4.778, p<0.05. Therefore, there was enough evidence to reject the null hypothesis and conclude that valuable resources have a statistically significant influence on SMEs Performance. The study concluded that valuable resource has a significant relationship with SMEs Performance. Valuable resources have a statistically significant influence on SMEs Performance. Increasing valuable resources in an SMEs will help the enterprise register higher performance. Key Words: Organizational Resources, Valuable Resources, Performance
The purpose of this paper is to establish the effect of the ease of access to mobile credit on the financial prosperity of MSEs. The ease of access describes the simplicity and easy way of enabling the provision of credit to a mobile money subscriber. Mobile credit means the credit offered through mobile phones whether from mobile phone operators in conjunction with banks or non-bank financial institutions or stand-alone mobile finance companies as per AFI - Global (2020) definition. This study tries to analyze whether there is a relationship between ease of access and the financial prosperity of an entrepreneur. Financial prosperity on the other hand is the economic well-being of a person or institution. The study adopted a descriptive research design. The target population for this study was 271,365 Licensed Small and Micro entrepreneurs in Nairobi County as per the Nairobi City County Licensing Database as of 16th November 2020. The sampling design employed a stratified sampling design to achieve a representative sample of the respondents. The sample size was 400 MSEs from each MSE, and the owner or key member was picked to participate. Overall, it was found that ease of access to mobile credit had a positive influence on financial prosperity. This implies that improved access to mobile credit leads to improved financial prosperity. An increase in Ease of access has a significant positive relationship (1.741432) with the financial prosperity composite. An increase in ease of access by one unit leads to an increase in financial prosperity by 1.741 units. Based on the study findings, it is recommended that mobile lenders should offer mobile credit with affordable terms. The mobile credit lenders should maintain a short period of the mobile money application process and approval to enhance the profitability and leverage of businesses. With good use of mobile credit, increased liquidity would increase financial prosperity for micro and small entrepreneurs.
This study sought to establish the moderating effect of social entrepreneurs’ gender on the contribution of social enterprises to social transformation in Kiambu County, Kenya. The study used a descriptive survey design guided by mixed methods research on 322 sampled social enterprises drawn from a target population of 1944 social enterprises distributed across the 12 sub-counties of Kiambu County. Data were collected using survey questionnaires and interview guide instruments. A simple random sampling technique was used to get the proportionate sample for each stratum. In data analysis, both descriptive statistics (mean, percentages, standard deviation and frequencies) and inferential statistics (correlation and regression analysis) were applied. The findings showed the influence of the independent variable on the dependent variable being explained by R of 0.568. The findings also revealed that social entrepreneurs’ gender was likely to have an effect on the relationship between social entrepreneurship and social transformation of R2 = 0.322. By the estimates of the F-test, social entrepreneurship was found to predict social transformation by F (3, 281) = 77.330, p<.05.
Managerial intellectual capital is one of the attributes of a global mindset, associated with knowledge, skill level, and creation of an organization competitive advantage. This paper sought to delve into the concept of internationalization of commercial banks by examining the relationship between managerial intellectual capital and internationalization of commercial banks in Kenya. The paper used positivism philosophical approach and adopted cross-sectional descriptive research design. The target population was top and middle level managers in commercial banks in Kenya. Data was collected using a structured questionnaire and analyzed using Statistical Package for Social Sciences (SPSS) version 22.0 to obtain both descriptive and inferential statistics. In addition, Structural Equation Modelling (SEM) was used to establish the influence of managerial global mindset attributes on internationalization of commercial banks in Kenya. The study established that there was a significant and positive relationship between human capital, relational capital and structural capital as attributes of managerial intellectual capital and internationalization of commercial banks in Kenya. Further, the study established that human capital, relational capital, and structural capital have significant influence on the success of internationalization strategy of commercial banks in Kenya. Thus, structural capital, human capital and relational capital, which are the managerial intellectual capital attributes, jointly influence the success of the internationalization of commercial banks in Kenya. It is therefore recommended that when appointing managers, the management of commercial banks should consider factors such as an individual’s knowledge of global industry, global value networks, and global organization.
The study sought to examine the extent to which directive and achievement-oriented path-goal leadership styles influence employee performance of coffee trading companies in Kenya. The positivism philosophy was adopted and the design used was a descriptive correlational research design. The population for the study was 180 senior managers of coffee trading companies in Kenya. Descriptive and inferential statistics were used to analyze the data. The descriptive statistics were mean and standard deviation while the inferential statistical analysis included correlational analysis, chi-square and multiple linear regression analysis. The results of the multiple linear regression analysis revealed that directive leadership style negatively and significantly predict employee performance, R2= 0.035, F(1, 114) = 4.141, p? .05, ? = -0.153, p? .05. Multiple linear regression analysis further revealed that achievement-oriented leadership style positively and significantly predicted employee performance, R2= 0.161, F(1, 116) = 20.686, p ?. .05, ? = 0.391, p? .05. The study provided a unique contribution to the theory and practice of leadership by contributing to knowledge in the application of Path-goal leadership styles in coffee trading companies. The study findings led to the conclusion that the use of a directive leadership style in coffee trading companies can adversely affect performance and leaders should exercise caution if they have to use this style.
Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.
Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:55 UTC · ijrbs | complete · ijrbs · 20 Oct 2026 19:50 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |